3 edition of Logic for computer science found in the catalog.
Logic for computer science
Jean H. Gallier
Includes bibliographies and index.
|Statement||Jean H. Gallier.|
|Series||Harper & Row computer science and technology series|
|The Physical Object|
|Number of Pages||511|
I would avoid the book approach, as it is absolutely not mandatory, particularly in these two fields. As far as logic goes, a quick read to the logic in CS page on wikipedia and (much) practice using logic operators in your favourite language(s). Logic for Computer Science: Foundations of Automatic Theorem Proving, Second Edition (Dover Books on Computer Science series) by Jean H. Gallier. This advanced text for undergraduate and graduate students introduces mathematical logic with an emphasis on proof theory and procedures for algorithmic construction of formal proofs.
The aim of logic in computer science is to develop languages to model the situations we encounter as computer science professionals, in such a way that we can reason about them formally. Reasoning about situations means constructing arguments about them; we want to do this formally, so that the arguments are valid and can be defended rigorously. Mathematical Logic for Computer Science is a mathematics textbook with theorems and proofs, but the choice of topics has been guided by the needs of students of computer science. The method of semantic tableaux provides an elegant way to teach logic .
lems that arise in computer science. The notion of a proof plays a central role in this work. Simply put, a proof is a method of establishing truth. Like beauty, “truth” some-times depends on the eye of the beholder, and it should not be surprising that what constitutes a proof differs among ﬁelds. For example, in the judicial system, legal. This book introduces the notions and methods of formal logic from a computer science standpoint, covering propositional logic, predicate logic, and foundations of logic programming. It presents applications and themes of computer science research such as resolution, automated deduction, and logic programming in a rigorous but readable flatmountaingirls.com: Uwe Schöning.
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Aug 25, · Logic for Computer Science: Foundations of Automatic Theo and millions of other books are available for Amazon Kindle. Learn more/5(3). “Mathematical logic is to computer science what calculus is to physics. If you really want to understand computer science, let this book be your guide.” ―J Strother Moore, Inman Chair Professor Emeritus, University of Texas at Austin “Many other books present logic as an object of flatmountaingirls.com: The MIT Press.
Mathematical Logic for Computer Science is a mathematics textbook with theorems and proofs, but the choice of topics has been guided by the needs of computer science students.
The method of semantic tableaux provides an elegant way to teach logic that is both theoretically sound and yet sufficiently elementary for flatmountaingirls.com by: The book can be used in undergraduate courses in logic for computer science and introduction to computer science and in math courses for computer science students.
An introduction to applying predicate logic to testing and verification of software and digital circuits that focuses on applications rather than theory. Sep 15, · Logic for Computer Science book. Read reviews from world’s largest community for readers.
Logic for Computer Science provides an introduction to mathem /5(7). This text presents the formal concepts underlying Computer Science. It starts with a wide introduction to Logic with an emphasis on reasoning and proof, with chapters on Program Verification and flatmountaingirls.com by: 5.
Dec 28, · A very brief overview of the applications of logic in computer science. It begins with the discussion of propositional logic, giving two constraint-based algorithms for solving the satisfiability problem, called "linear" and "cubic" (I don't get it - how can an NP-complete problem have a cubic algorithm, unless P=NP?/5.
The aim of this book is to give students of computer science a working knowledge of the relevant parts of logic. It is not intended to be a review of applications of logic in computer science, neither is it primarily intended to be a first course in logic for students.
Mathematical Logic for Computer Science is a mathematics textbook, just as a ﬁrst-year calculus text is a mathematics textbook.
A scientist or engineer needs more than just a facility for manipulating formulas and a ﬁrm foundation in mathematics. Reproduction for commercial purposes is prohibited.
The cover page, which contains these terms and conditions, must be included in all distributed copies. It is not permitted to post this book for downloading in any other web location, though links to this page may be freely given.
Aug 08, · Logic and its components (propositional, first-order, non-classical) play a key role in Computer Science and Artificial Intelligence. While a large amount of information exists scattered throughout various media (books, journal articles, webpages, etc.), the diffuse nature of these sources is problematic and logic as a topic benefits from a.
May 23, · This text for the first or second year undergraduate in mathematics, logic, computer science, or social sciences, introduces the reader to logic, proofs, sets, and number theory.
It also serves as an excellent independent study reference and resource for instructors.5/5(1). This book discusses logic as a tool for computer science; a field that uses logic at all levels. It provides a survey of mathematical logic and its various applications.
After covering basic material of propositional logic and first-order logic, the course presents the foundations of finite model theory and descriptive complexity. Mathematical Logic for Computer Science is a mathematics textbook with theorems and proofs, but the choice of topics has been guided by the needs of computer science students.
The method of semantic tableaux provides a way to teach logic that is both theoretically sound and /5. Aug 06, · I purchased Logic in Computer Science 2nd Edition recently in preparation for an exam I have soon. This book has proven to be very useful, it’s full of useful information and exercises to complete.
However, one caveat I have with the book is that they don’t provide completed solutions to. Logic in Computer Science modelling and reasoning about systems. Michael Huth and Mark Ryan; pages (2nd edition). Mathematical Logic for Computer Science is a mathematics textbook with theorems and proofs, but the choice of topics has been guided by the needs of students of computer science.
The method of semantic tableaux provides an elegant way to teach logic that is both theoretically sound and easy to understand. For a more advanced treatment, we suggest Mathematics for Computer Science, the book-length lecture notes for the MIT course of the same name.
That course’s video lectures are also freely available, and are our recommended video lectures for discrete math. information Computer science is the study of information processes. A process is a sequence processes of steps. Each step changes the state of the world in some small way, and the result of all the steps produces some goal state.
For example, baking a cake, mailing a letter, and planting a. Download free Computer Science eBooks in pdf format or read Computer Science books online. Think Complexity, 2nd Edition.
Think Complexity, 2nd Edition is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science.
The examples and supporting code for this book are in Python. Logic in ComputerScience by Huth and Ryan is an exceptional book.
I was amazed when I looked through it for the ﬁrst time. In addition to propositional and predicate logic, it has a particularly thorough treatment of temporal logic and model checking.
In fact, the book is quite remarkable.Logic in Computer Science: Modelling and Reasoning About Systems. The book begins with propositional logic, then treats first-order logic, and finally, first-order logic with equality.Department of Electrical Engineering and Computer Science and the Computer Science and AI Laboratory, Massachussetts Institute of Technology.Eric Lehman, F Tom Leighton, Albert R Meyer.
Propositional Logic in Computer Programs 45 Equivalence and Validity 48 The Algebra of Propositions 50 The SAT Problem 55